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Results 1 - 10 of 10 for SparseSoftmaxCrossEntropyWithLogits (0.47 sec)
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tensorflow/c/experimental/gradients/nn_grad_test.cc
AbstractTensorHandle* loss; AbstractTensorHandle* backprop; TF_RETURN_IF_ERROR(ops::SparseSoftmaxCrossEntropyWithLogits( ctx, inputs[0], inputs[1], &loss, &backprop, "SparseSoftmaxCrossEntropyWithLogits")); // `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.cc
#include "tensorflow/core/framework/types.h" #include "tensorflow/core/platform/errors.h" using tensorflow::tracing::MaybeSetOpName; namespace tensorflow { namespace ops { // Op: SparseSoftmaxCrossEntropyWithLogits() // Summary: Computes softmax cross entropy cost and gradients to backpropagate. // // Description: // Unlike `SoftmaxCrossEntropyWithLogits`, this operation does not accept
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.9K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.cc.golden
TF_RETURN_IF_ERROR(op_ptr->AddInputList(input)); int num_retvals = output.size(); return op_ptr->Execute(output, &num_retvals); } // Op: SparseSoftmaxCrossEntropyWithLogits() // Summary: // // Description:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/experimental/ops/update_cpp_ops.sh
Mul \ Conj \ AddV2 \ MatMul \ Neg \ Sum \ Sub \ Div \ DivNoNan \ Exp \ Sqrt \ SqrtGrad \ Log1p ${generate} \ --category=nn \ SparseSoftmaxCrossEntropyWithLogits \ ReluGrad \ Relu \ BiasAdd \ BiasAddGrad ${generate} \ --category=resource_variable \ VarHandleOp \ ReadVariableOp \ AssignVariableOp \ DestroyResourceOp
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 17:54:34 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.h.golden
// Status IdentityN(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> input, absl::Span<AbstractTensorHandle*> output, const char* name = nullptr, const char* raw_device_name = nullptr); // Status SparseSoftmaxCrossEntropyWithLogits(AbstractContext* ctx, AbstractTensorHandle* const features, AbstractTensorHandle* const labels, AbstractTensorHandle** loss, AbstractTensorHandle** backprop, const char* name = nullptr, const char* raw_device_name = nullptr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 2.9K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.h
#include "tensorflow/c/eager/abstract_tensor_handle.h" namespace tensorflow { namespace ops { // Computes softmax cross entropy cost and gradients to backpropagate. Status SparseSoftmaxCrossEntropyWithLogits( AbstractContext* ctx, AbstractTensorHandle* const features, AbstractTensorHandle* const labels, AbstractTensorHandle** loss, AbstractTensorHandle** backprop, const char* name = nullptr,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 2.6K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/cpp_generator_test.cc
string api_dirs = ""; std::vector<string> ops = { "Neg", // Simple unary Op "MatMul", // 2 inputs & attrs with default values "IdentityN", // Variadic input+output "SparseSoftmaxCrossEntropyWithLogits", // 2 outputs "AccumulatorApplyGradient", // 0 outputs "VarHandleOp", // type, shape, list(string) attrs "RestoreV2", // Variadic output-only, list(type) attr
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 18 17:02:28 UTC 2022 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.golden_summary
MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 164 Pad 1 ReadVariableOp 646 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 ShapeN 50 Softmax 1 SparseSoftmaxCrossEntropyWithLogits 1 Square 55 Squeeze 1 Sub 106 Sum 57 Tile 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 740 bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 218 Pad 2 ReadVariableOp 538 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 Slice 1 Softmax 1 SparseSoftmaxCrossEntropyWithLogits 1 Squeeze 1 Sum 1 Tile 1 Transpose 1 cluster 1 size 815 AddN 1 AssignAddVariableOp 1 AssignSubVariableOp 106 Const 220 DivNoNan 1 Identity 1 Mul 161 ReadVariableOp 106
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
tensorflow/compiler/jit/tests/opens2s_gnmt_mixed_precision.golden_summary
ConcatV2 1 Const 30 ExpandDims 3 Less 1 Mean 2 Minimum 1 Mul 3 Pack 2 Pad 1 Range 1 RealDiv 1 Reshape 8 Shape 7 Size 1 Slice 2 Snapshot 5 SparseSoftmaxCrossEntropyWithLogits 1 StridedSlice 2 Sub 3 Sum 1 Tile 1 Transpose 2 Unpack 1 cluster 2 size 44 Cast 2 ConcatV2 2 Const 18 ExpandDims 1 GatherV2 2 Less 1 MatMul 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 5K bytes - Viewed (0)